Under the leadership of the US Department of Homeland Security (DHS), researchers at the
Pacific Northwest National Laboratory (PNNL) established a research center focusing on the …

Mosaic is an architecture for greater scalability, extensibility, and interoperability of
interactive data views. Mosaic decouples data processing from specification logic: clients …

This paper describes a system called Q-PIT. It is a prototype example of a class of systems
we define as populated information terrains. Within the scope of our work, we examine …

Data visualizations are created and shared on the web at an unprecedented speed, raising
new needs and questions for processing and analyzing visualizations after they have been …

Visual analysis of large and complex data often requires multiple analysts with diverse
expertise and different perspectives to collaborate in order to reveal hidden structures and …

While there have been many solutions proposed for storing and analyzing large volumes of
data, all of these solutions have limited support for collaborative data analytics, especially …

This textbook presents the main principles of visual analytics and describes techniques and
approaches that have proven their utility and can be readily reproduced. Special emphasis …

Managing and understanding the growing volumes of scientific data is one of the most
challenging issues scientists face today. As analyses get more complex and large …

We present P6, a declarative language for building high performance visual analytics
systems through its support for specifying and integrating machine learning and interactive …

We present VisTiles, a conceptual framework that uses a set of mobile devices to distribute
and coordinate visualization views for the exploration of multivariate data. In contrast to …